In the context of the state aided research project "EFA 2014" (Energy Efficient Driving 2014) new approaches for reducing energy consumption and emissions of motorized vehicles are explored. The main aspects in this project are the automation of predictive driving strategies with intelligent, situation-adapted operation strategies, as well as the necessary redesign of the on-board electrical system and its components. This article deals with the interaction between an energy efficient deceleration strategy enabled by looking forward information about an upcoming route section and an online predictive control strategy for the in-car powertrain and energy management to reduce the fuel consumption of a hybrid vehicle. First of all the behavior of a conventional driver without predictive information about the upcoming driving situation is described as a basis for the survey with a speed profile of a standard driving situation. Then the behavior and fuel saving potentials of a predictive deceleration strategy as far as an online predictive control strategy is pointed out for this exemplary driving situation. Thereafter the interaction between the predictive driving strategy and the online predictive control strategy, especially on the question of optimizing the driving strategy and hereon adapting a predictive control strategy is regarded. For an overall evaluation these strategies are compared to each other and with a global optimal reference fuel consumption calculated by Dynamic Programming.
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